






"""simple docstring"""





import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 	a		(   __snake_case    , unittest.TestCase						):
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					CodeGenTokenizer
    SCREAMING_SNAKE_CASE		:	Dict		=					CodeGenTokenizerFast
    SCREAMING_SNAKE_CASE		:	int		=					True
    SCREAMING_SNAKE_CASE		:	Tuple		=					{"""add_prefix_space""": True}
    SCREAMING_SNAKE_CASE		:	Dict		=					False






    def   UpperCamelCase			(			self	:				int   )	->						Union[str, Any]:
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      lowerCamelCase_       	=		[
          'l',
          'o',
          'w',
          'e',
          'r',
          's',
          't',
          'i',
          'd',
          'n',
          '\u0120',
          '\u0120l',
          '\u0120n',
          '\u0120lo',
          '\u0120low',
          'er',
          '\u0120lowest',
          '\u0120newer',
          '\u0120wider',
          '<unk>',
          '<|endoftext|>',
      ]
      lowerCamelCase_       	=		dict(zip(__SCREAMING_SNAKE_CASE			,		range(len(__SCREAMING_SNAKE_CASE   )   )   )   )
      lowerCamelCase_       	=		['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
      lowerCamelCase_       	=		{'unk_token': '<unk>'}

      lowerCamelCase_       	=		os.path.join(self.tmpdirname			,		VOCAB_FILES_NAMES['vocab_file']   )
      lowerCamelCase_       	=		os.path.join(self.tmpdirname			,		VOCAB_FILES_NAMES['merges_file']   )
      with open(self.vocab_file			,		'w'			,		encoding='utf-8'   ) as fp:
        fp.write(json.dumps(__SCREAMING_SNAKE_CASE   ) + '\n'   )
      with open(self.merges_file			,		'w'			,		encoding='utf-8'   ) as fp:
        fp.write('\n'.join(__SCREAMING_SNAKE_CASE   )   )






    def   UpperCamelCase			(			self	:				Any			,		**__SCREAMING_SNAKE_CASE	:				List[str]   )	->						Tuple:
      kwargs.update(self.special_tokens_map   )
      return CodeGenTokenizer.from_pretrained(self.tmpdirname			,		**__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				str			,		**__SCREAMING_SNAKE_CASE	:				str   )	->						Optional[int]:
      kwargs.update(self.special_tokens_map   )
      return CodeGenTokenizerFast.from_pretrained(self.tmpdirname			,		**__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				Dict			,		__SCREAMING_SNAKE_CASE	:				List[Any]   )	->						str:
      lowerCamelCase_       	=		'lower newer'
      lowerCamelCase_       	=		'lower newer'
      return input_text, output_text






    def   UpperCamelCase			(			self	:				List[Any]   )	->						Union[str, Any]:
      lowerCamelCase_       	=		CodeGenTokenizer(self.vocab_file			,		self.merges_file			,		**self.special_tokens_map   )
      lowerCamelCase_       	=		'lower newer'
      lowerCamelCase_       	=		['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
      lowerCamelCase_       	=		tokenizer.tokenize(__SCREAMING_SNAKE_CASE			,		add_prefix_space=__SCREAMING_SNAKE_CASE   )
      self.assertListEqual(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokens + [tokenizer.unk_token]
      lowerCamelCase_       	=		[14, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE   )			,		__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				Any   )	->						int:
      if not self.test_rust_tokenizer:
        return

      lowerCamelCase_       	=		self.get_tokenizer()
      lowerCamelCase_       	=		self.get_rust_tokenizer(add_prefix_space=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		'lower newer'

      # Testing tokenization
      lowerCamelCase_       	=		tokenizer.tokenize(__SCREAMING_SNAKE_CASE			,		add_prefix_space=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		rust_tokenizer.tokenize(__SCREAMING_SNAKE_CASE   )
      self.assertListEqual(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      # Testing conversion to ids without special tokens
      lowerCamelCase_       	=		tokenizer.encode(__SCREAMING_SNAKE_CASE			,		add_special_tokens=__SCREAMING_SNAKE_CASE			,		add_prefix_space=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		rust_tokenizer.encode(__SCREAMING_SNAKE_CASE			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )
      self.assertListEqual(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      # Testing conversion to ids with special tokens
      lowerCamelCase_       	=		self.get_rust_tokenizer(add_prefix_space=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.encode(__SCREAMING_SNAKE_CASE			,		add_prefix_space=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		rust_tokenizer.encode(__SCREAMING_SNAKE_CASE   )
      self.assertListEqual(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      # Testing the unknown token
      lowerCamelCase_       	=		tokens + [rust_tokenizer.unk_token]
      lowerCamelCase_       	=		[14, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE   )			,		__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				int			,		*__SCREAMING_SNAKE_CASE	:				Optional[Any]			,		**__SCREAMING_SNAKE_CASE	:				Dict   )	->						List[Any]:
      # It's very difficult to mix/test pretokenization with byte-level
      # And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
      pass






    def   UpperCamelCase			(			self	:				List[str]			,		__SCREAMING_SNAKE_CASE	:				int=15   )	->						Union[str, Any]:
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
          lowerCamelCase_       	=		self.rust_tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE			,		**__SCREAMING_SNAKE_CASE   )

          # Simple input
          lowerCamelCase_       	=		'This is a simple input'
          lowerCamelCase_       	=		['This is a simple input 1', 'This is a simple input 2']
          lowerCamelCase_       	=		('This is a simple input', 'This is a pair')
          lowerCamelCase_       	=		[
              ('This is a simple input 1', 'This is a simple input 2'),
              ('This is a simple pair 1', 'This is a simple pair 2'),
          ]

          # Simple input tests
          self.assertRaises(__SCREAMING_SNAKE_CASE			,		tokenizer_r.encode			,		__SCREAMING_SNAKE_CASE			,		max_length=__SCREAMING_SNAKE_CASE			,		padding='max_length'   )

          # Simple input
          self.assertRaises(__SCREAMING_SNAKE_CASE			,		tokenizer_r.encode_plus			,		__SCREAMING_SNAKE_CASE			,		max_length=__SCREAMING_SNAKE_CASE			,		padding='max_length'   )

          # Simple input
          self.assertRaises(
              __SCREAMING_SNAKE_CASE			,		tokenizer_r.batch_encode_plus			,		__SCREAMING_SNAKE_CASE			,		max_length=__SCREAMING_SNAKE_CASE			,		padding='max_length'			,		)

          # Pair input
          self.assertRaises(__SCREAMING_SNAKE_CASE			,		tokenizer_r.encode			,		__SCREAMING_SNAKE_CASE			,		max_length=__SCREAMING_SNAKE_CASE			,		padding='max_length'   )

          # Pair input
          self.assertRaises(__SCREAMING_SNAKE_CASE			,		tokenizer_r.encode_plus			,		__SCREAMING_SNAKE_CASE			,		max_length=__SCREAMING_SNAKE_CASE			,		padding='max_length'   )

          # Pair input
          self.assertRaises(
              __SCREAMING_SNAKE_CASE			,		tokenizer_r.batch_encode_plus			,		__SCREAMING_SNAKE_CASE			,		max_length=__SCREAMING_SNAKE_CASE			,		padding='max_length'			,		)






    def   UpperCamelCase			(			self	:				Any   )	->						Optional[int]:
      lowerCamelCase_       	=		CodeGenTokenizer.from_pretrained(self.tmpdirname			,		pad_token='<pad>'   )

      # Simple input
      lowerCamelCase_       	=		'This is a simple input'
      lowerCamelCase_       	=		['This is a simple input looooooooong', 'This is a simple input']
      lowerCamelCase_       	=		('This is a simple input', 'This is a pair')
      lowerCamelCase_       	=		[
          ('This is a simple input loooooong', 'This is a simple input'),
          ('This is a simple pair loooooong', 'This is a simple pair'),
      ]

      lowerCamelCase_       	=		tokenizer.pad_token_id

      lowerCamelCase_       	=		tokenizer(__SCREAMING_SNAKE_CASE			,		padding='max_length'			,		max_length=30			,		return_tensors='np'   )
      lowerCamelCase_       	=		tokenizer(__SCREAMING_SNAKE_CASE			,		padding=__SCREAMING_SNAKE_CASE			,		truncate=__SCREAMING_SNAKE_CASE			,		return_tensors='np'   )
      lowerCamelCase_       	=		tokenizer(*__SCREAMING_SNAKE_CASE			,		padding='max_length'			,		max_length=60			,		return_tensors='np'   )
      lowerCamelCase_       	=		tokenizer(__SCREAMING_SNAKE_CASE			,		padding=__SCREAMING_SNAKE_CASE			,		truncate=__SCREAMING_SNAKE_CASE			,		return_tensors='np'   )

      # s
      # test single string max_length padding
      self.assertEqual(out_s['input_ids'].shape[-1]			,		30   )
      self.assertTrue(pad_token_id in out_s['input_ids']   )
      self.assertTrue(0 in out_s['attention_mask']   )

      # s2
      # test automatic padding
      self.assertEqual(out_sa['input_ids'].shape[-1]			,		33   )
      # long slice doesn't have padding
      self.assertFalse(pad_token_id in out_sa['input_ids'][0]   )
      self.assertFalse(0 in out_sa['attention_mask'][0]   )
      # short slice does have padding
      self.assertTrue(pad_token_id in out_sa['input_ids'][1]   )
      self.assertTrue(0 in out_sa['attention_mask'][1]   )

      # p
      # test single pair max_length padding
      self.assertEqual(out_p['input_ids'].shape[-1]			,		60   )
      self.assertTrue(pad_token_id in out_p['input_ids']   )
      self.assertTrue(0 in out_p['attention_mask']   )

      # p2
      # test automatic padding pair
      self.assertEqual(out_pa['input_ids'].shape[-1]			,		52   )
      # long slice pair doesn't have padding
      self.assertFalse(pad_token_id in out_pa['input_ids'][0]   )
      self.assertFalse(0 in out_pa['attention_mask'][0]   )
      # short slice pair does have padding
      self.assertTrue(pad_token_id in out_pa['input_ids'][1]   )
      self.assertTrue(0 in out_pa['attention_mask'][1]   )






    def   UpperCamelCase			(			self	:				List[str]   )	->						Dict:
      lowerCamelCase_       	=		'$$$'
      lowerCamelCase_       	=		CodeGenTokenizer.from_pretrained(self.tmpdirname			,		bos_token=__SCREAMING_SNAKE_CASE			,		add_bos_token=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		'This is a simple input'
      lowerCamelCase_       	=		['This is a simple input 1', 'This is a simple input 2']

      lowerCamelCase_       	=		tokenizer.bos_token_id

      lowerCamelCase_       	=		tokenizer(__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer(__SCREAMING_SNAKE_CASE   )

      self.assertEqual(out_s.input_ids[0]			,		__SCREAMING_SNAKE_CASE   )
      self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids   )   )

      lowerCamelCase_       	=		tokenizer.decode(out_s.input_ids   )
      lowerCamelCase_       	=		tokenizer.batch_decode(out_sa.input_ids   )

      self.assertEqual(decode_s.split()[0]			,		__SCREAMING_SNAKE_CASE   )
      self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa   )   )






    @slow
    def   UpperCamelCase			(			self	:				Union[str, Any]   )	->						str:
      lowerCamelCase_       	=		CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono'   )

      lowerCamelCase_       	=		'\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
      lowerCamelCase_       	=		'\nif len_a > len_b:      result = a\nelse:      result = b'

      lowerCamelCase_       	=		tokenizer.encode(__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		['^#', re.escape('<|endoftext|>'   ), '^\'\'\'', '^"""', '\n\n\n']
      lowerCamelCase_       	=		tokenizer.decode(__SCREAMING_SNAKE_CASE			,		truncate_before_pattern=__SCREAMING_SNAKE_CASE   )
      self.assertEqual(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				Tuple   )	->						Optional[int]:
      pass












"""simple docstring"""





def 	lowerCamelCase__			(				_lowerCamelCase			:						list[list[int | float]]					) ->							int:
  lowerCamelCase_       	=		len(_lowerCamelCase					)
  lowerCamelCase_       	=		len(matrix[0]					)
  lowerCamelCase_       	=		min(_lowerCamelCase						,							_lowerCamelCase					)

  for row in range(_lowerCamelCase					):
    # Check if diagonal element is not zero
    if matrix[row][row] != 0:
      # Eliminate all the elements below the diagonal
      for col in range(row + 1						,							_lowerCamelCase					):
        lowerCamelCase_       	=		matrix[col][row] / matrix[row][row]
        for i in range(_lowerCamelCase						,							_lowerCamelCase					):
          matrix[col][i] -= multiplier * matrix[row][i]
    else:
      # Find a non-zero diagonal element to swap rows
      lowerCamelCase_       	=		True
      for i in range(row + 1						,							_lowerCamelCase					):
        if matrix[i][row] != 0:
          lowerCamelCase_	,      lowerCamelCase_       	=		matrix[i], matrix[row]
          lowerCamelCase_       	=		False
          break
      if reduce:
        rank -= 1
        for i in range(_lowerCamelCase					):
          lowerCamelCase_       	=		matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
      row -= 1

  return rank


if __name__ == "__main__":
  import doctest

  doctest.testmod()




